A system for contextual search

Ahn Jinhyun, Jung Hyosook, Kim Heejin, Sun Dongeun, Seongbin Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we present a system that takes an input document and searches semantically-related documents on the Web. Relatedness is measured based on two criteria. One is to check whether some representative words inside the input document appear in candidate documents. The other is to check whether words that describe the contextual information about the input document appear in candidate documents.

Original languageEnglish
Title of host publicationProceedings - 1st IEEE International Workshop on Semantic Computing and Applications, IWSCA 2008
Pages96-98
Number of pages3
DOIs
Publication statusPublished - 2008
Event1st IEEE International Workshop on Semantic Computing and Applications, IWSCA 2008 - Incheon, Korea, Republic of
Duration: 2008 Jul 102008 Jul 11

Publication series

NameProceedings - 1st IEEE International Workshop on Semantic Computing and Applications, IWSCA 2008

Other

Other1st IEEE International Workshop on Semantic Computing and Applications, IWSCA 2008
CountryKorea, Republic of
CityIncheon
Period08/7/1008/7/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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